code: def simple_motif_embedding(
      motif_name, seq_length, num_seqs, GC_fraction
  ):
      """Simulates sequences with a motif embedded anywhere in the sequence.
  
      Parameters
      ----------
      motif_name : str
          encode motif name
      seq_length : int
          length of sequence
      num_seqs: int
          number of sequences
      GC_fraction : float
          GC basepair fraction in background sequence
  
      Returns
      -------
      sequence_arr : 1darray
          Array with sequence strings.
      embedding_arr: 1darray
          Array of embedding objects.
      """
      import simdna
      from simdna import synthetic
  
      if motif_name is None:
          embedders = []
      else:
          loaded_motifs = synthetic.LoadedEncodeMotifs(
              simdna.ENCODE_MOTIFS_PATH, pseudocountProb=0.001
          )
          substring_generator = synthetic.PwmSamplerFromLoadedMotifs(
              loaded_motifs, motif_name
          )
          embedders = [
              synthetic.SubstringEmbedder(
                  synthetic.ReverseComplementWrapper(
                      substring_generator
                  )
              )
          ]
      embed_in_background = synthetic.EmbedInABackground(
          synthetic.ZeroOrderBackgroundGenerator(
              seq_length,
              discreteDistribution=get_distribution(GC_fraction),
          ),
          embedders,
      )
      generated_sequences = tuple(
          synthetic.GenerateSequenceNTimes(
              embed_in_background, num_seqs
          ).generateSequences()
      )
      sequence_arr = np.array(
          [generated_seq.seq for generated_seq in generated_sequences]
      )
      embedding_arr = [
          generated_seq.embeddings
          for generated_seq in generated_sequences
      ]
      return sequence_arr, embedding_arr
  
file_path: deepchem/deepchem/molnet/dnasim.py
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: simple_motif_embedding(motif_name, seq_length, num_seqs, GC_fraction) and returns: sequence_arr,  embedding_arr